Erdem Biyik

Research Summary

Erdem Bıyık is broadly interested in artificial intelligence for robotics. In his research, he uses tools from machine learning, artificial intelligence, optimization, game theory, robotics, information theory, and cognitive science. Specifically, he works on robot learning from humans, human-robot collaboration, and learning in multi-agent systems.

In Lira Lab, Erdem's research group develops algorithms for robot learning, safe and efficient human-robot interaction and multi-agent systems. Their mission is to equip robots, or more generally agents powered with artificial intelligence (AI), with the capabilities that will enable them to intelligently learn, align with, adapt to, and influence the humans and other AI agents. They take a two-step approach to this problem. First, machine learning techniques that they develop enable robots to model the behaviors and goals of the other agents by leveraging different forms of information they leak or explicitly provide. Second, these robots interact with the others to achieve online adaptation by leveraging the learned behaviors and goals while making sure this adaptation is beneficial and sustainable.